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rocblas_zgerc_batched Interface Reference

rocblas_zgerc_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_zgerc_batched Interface Reference
hipfort_rocblas::rocblas_zgerc_batched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_zgerc_batched_ (handle, m, n, alpha, x, incx, y, incy, A, lda, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_zgerc_batched_full_rank (handle, m, n, alpha, x, incx, y, incy, A, lda, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_zgerc_batched_rank_0 (handle, m, n, alpha, x, incx, y, incy, A, lda, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_zgerc_batched_rank_1 (handle, m, n, alpha, x, incx, y, incy, A, lda, batch_count)
 

Detailed Description

BLAS Level 2 API.

ger_batched,geru_batched,gerc_batched perform a batch of the matrix-vector operations

A := A + alpha*x*y**T , OR
A := A + alpha*x*y**H for gerc

where (A_i, x_i, y_i) is the i-th instance of the batch. alpha is a scalar, x_i and y_i are vectors and A_i is an m by n matrix, for i = 1, ..., batch_count.

Parameters
[in]handle[rocblas_handle] handle to the rocblas library context queue.
[in]m[rocblas_int] the number of rows of each matrix A_i.
[in]n[rocblas_int] the number of columns of eaceh matrix A_i.
[in]alphadevice pointer or host pointer to scalar alpha.
[in]xdevice array of device pointers storing each vector x_i.
[in]incx[rocblas_int] specifies the increment for the elements of each vector x_i.
[in]ydevice array of device pointers storing each vector y_i.
[in]incy[rocblas_int] specifies the increment for the elements of each vector y_i.
[in,out]Adevice array of device pointers storing each matrix A_i.
[in]lda[rocblas_int] specifies the leading dimension of each A_i.
[in]batch_count[rocblas_int] number of instances in the batch

Member Function/Subroutine Documentation

◆ rocblas_zgerc_batched_()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_batched::rocblas_zgerc_batched_ ( type(c_ptr), value  handle,
integer(c_int), value  m,
integer(c_int), value  n,
complex(c_double_complex)  alpha,
type(c_ptr)  x,
integer(c_int), value  incx,
type(c_ptr)  y,
integer(c_int), value  incy,
type(c_ptr)  A,
integer(c_int), value  lda,
integer(c_int), value  batch_count 
)

◆ rocblas_zgerc_batched_full_rank()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_batched::rocblas_zgerc_batched_full_rank ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), dimension(:,:), target  x,
integer(c_int)  incx,
complex(c_double_complex), dimension(:,:), target  y,
integer(c_int)  incy,
complex(c_double_complex), dimension(:,:,:), target  A,
integer(c_int)  lda,
integer(c_int)  batch_count 
)

◆ rocblas_zgerc_batched_rank_0()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_batched::rocblas_zgerc_batched_rank_0 ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), target  x,
integer(c_int)  incx,
complex(c_double_complex), target  y,
integer(c_int)  incy,
complex(c_double_complex), target  A,
integer(c_int)  lda,
integer(c_int)  batch_count 
)

◆ rocblas_zgerc_batched_rank_1()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_batched::rocblas_zgerc_batched_rank_1 ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), dimension(:), target  x,
integer(c_int)  incx,
complex(c_double_complex), dimension(:), target  y,
integer(c_int)  incy,
complex(c_double_complex), dimension(:), target  A,
integer(c_int)  lda,
integer(c_int)  batch_count 
)

The documentation for this interface was generated from the following file: